class_docstr: Base ModelInterface for torch and tensorflow models.
class_docstr_tok: ["Base","ModelInterface","for","torch","and","tensorflow","models","."]
docstr: Get a dictionary of the model's learnable parameters.
docstr_tok: ["Get","a","dictionary","of","the","model","'s","learnable","parameters","."]
code: def state_dict(self):
      """
      Get a dictionary of the model's learnable parameters.
      """
      raise NotImplementedError
  
file_path: Quantus/quantus/helpers/model/model_interface.py
imports: import warnings
  from importlib import util
  from abc import ABC, abstractmethod
  from typing import Any, Dict, Optional, Tuple, List, Union, Generator, TypeVar, Generic
  import numpy
label_desc: Use image node_id 6 for calling the ModelInterface obj's underlying member method code with example usage: obj.state_dict() without return types